The Data Engineering Major aims at training flexible and adaptable engineers, able to assist companies and laboratories in their data structuration and optimization. It gives priority to a systemic approach that includes legal, ethical and environmental aspects.
By the end of this Major, graduates have developed scientific, technical and management skills based on :
- A global approach of Data value chain : Recovering, Structuration, Analysis, Optimization and Governance
- The ethical, legal, economical and environmental data exploitation
Graduate engineers will value skills in mathematics (statistics, decision theory, modelling), computing (IS, scripts languages, data and visualization tools, apprenticeship) as well as knowledge in contextualization (Green IT, law and ethics, business, scientific applications).
The major extends over two academic years and is organised around two in-class semesters, alternating with two internship semesters: a student engineer internship in Year 4 and a “final year project” internship in Year 5.
All courses units are taught in English and are designed independently to welcome students from other programmes or professionals for continuing education. In order to stick to real working conditions, courses units are based on a project approach in order to confront students to real specification, train them to team work and teach them how to become self-directed.
Industry sectors are extremely diversified and address all types of companies from large industrial groups, to SMEs, reseach centers or start-ups:
- Digital companies
- Insurance & Health
- Banking & Finance
- Sales, Distribution, Marketing
- Medical / Pharmaceutical
- Collective services
- Life sciences
- Earth sciences
- Data Manager
- Data Architect
- Data Analyst
- Data Scientist
- Data Designer
- BI Manager
- Chief Data Officer
- Data Protection Officer
- Data Auditor
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